Finding B2B Buying Signals in Job Posts and Company News

Описание и применение

Инструмент для оценки сигналов покупки в объявлениях о работе и новостях компаний, использующий API Google Jobs и News через SearchApi, позволяет приоритизировать потенциальных клиентов по очкам, основанным на совпадении должностей, свежести объявлений и новостных событиях.

Задача

Job posts alone lack enough context to determine when a new posting indicates buying intent.

Результат

In a test run on 28 Sep 2026, the tool processed 19 job listings, selected 3 employers, and scored each at 45 points based on recent job matches, but no news points were earned.

Рабочий процесс

• Define firmographic profiles (Growth, Team Buildout, etc.)
• Query Google Jobs API via SearchApi for relevant listings
• Deduplicate and select top employers
• Query Google News API via SearchApi for news items about selected employers
• Apply scoring rules: title match (up to 40 pts), recency (up to 20 pts), news event match (25 pts), dual sources (15 pts)
• Filter results by score threshold
• Export and review top sources
• Document insights per account

Доказательства

The problem that I’m solving is that job posts on their own don’t give you enough information to know when a new job post is actually worth looking into further.

Источник

In my app, I’ve created several different (and editable) firmographic profiles, including, but not limited to: Growth, Team Buildout, New Leadership and Revenue Operations.

Источник

Using my growth profile as an example (shown below), I can assign up to 40 points if I find a job that matches both the role and the description of the job.

Источник

In a run on 28 Sep 2026 with a company limit of three, The job search part made two requests to the Google Jobs API and found 19 relevant and de-duplicated job listings.

Источник

Each of the three accounts scored 45 points for having recently posted jobs matching the profile’s titles. None of the accounts scored any points from the news search.

Источник